About this Course
Every day, product teams face hundreds of feature requests, stakeholder demands, and strategic decisions. But which ones actually move the needle? This Short Course was created to help data analysis professionals accomplish systematic, defensible product prioritization that drives measurable business impact. By completing this course, you'll be able to apply proven frameworks like RICE scoring to eliminate subjective bias in feature selection, create compelling decision memos that turn data insights into strategic action, and build stakeholder confidence through transparent, data-backed prioritization processes that you can implement immediately in your next sprint planning session. By the end of this course, you will be able to: Evaluate features for prioritization based on impact, confidence, and effort using structured frameworks Create decision memos that link identified trends to proposed roadmap changes and assess associated risks This course is unique because it combines quantitative prioritization techniques with strategic communication skills, giving you both the analytical tools and the executive-level writing skills to influence product direction. To be successful in this project, you should have a background in data analysis and basic product management concepts
What You'll Learn
- Prioritize product features using frameworks to reduce bias
- Translate data insights into clear recommendations through decision memos
- Balance data analysis with strategic judgment for sustainable success
- Communicate decision criteria transparently to ensure cross-functional alignment
Prerequisites
- Basic familiarity with the topic and its common terminology
- Readiness to practice through applied exercises or case-based work
Instructors
John Whitworth